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Machine Learning

15 directly classified papers

Papers per year

Papers

The Development of Hebrew in Antiquity – A Computational Linguistic Study NAACL 2025
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025
Towards an Integrated Methodology of Dating Biblical Texts: The Case of the Book of Jeremiah NAACL 2025
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NIPS 2024
Generative Adversarial Symmetry Discovery ICML 2023
Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022
Automating Claim Construction in Patent Applications: The CMUmine Dataset EMNLP 2021
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NIPS 2020
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019
Learning How to Ground a Plan – Partial Grounding in Classical Planning AAAI 2019
Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017
Learning to Discover Efficient Mathematical Identities NIPS 2014
Playing Pinball with non-invasive BCI NIPS 2008